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Build an LLM app: prompts and RAG v1.0.0

Use this resource to build an AI feature with prompts, streaming and RAG

New

  • 501 downloads
  • 121 likes
  • 117 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install llm-app-prompts-rag

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes structured prompts with examples and step-by-step reasoning, integrates the OpenAI or Anthropic APIs with streaming, then builds a RAG pipeline with document chunking. You get the base code for an AI feature or a chatbot.

Mostly picked by

Updated November 2, 2026

Card for the “Build an LLM app: prompts and RAG” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md : structured prompts, examples and reasoning chains
  • SKILL.md : API integration, streaming and RAG chunking

Good fit for

  • You are adding an AI assistant to your app
  • A chatbot must answer from your documents

Not for

    Tags

    • llm
    • rag
    • prompts
    • api

    About

    You say

    “Add an assistant that answers from our product documentation, with streaming.”

    Card for the “Build an LLM app: prompts and RAG” skill

    Skill published by moizibnyousaf under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build an AI feature with prompts, streaming and RAG
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.2 KB

    Origin and licence

    Listed unmodified

    Author
    moizibnyousaf
    Source
    github.com/moizibnyousaf/ai-agent-skills/tree/6d95c788aa22ce39a4807b9a4c31c758a2036dc6/skills/llm-application-dev
    Licence
    MIT

    Notice

    « llm-application-dev » (moizibnyousaf, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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